Built an intelligent AI-powered mock interview platform that enables candidates to practice and improve their interview skills through realistic simulations, providing an accessible solution for interview preparation and skill enhancement. Key Features & Contributions: - Developed full-stack web application using MERN stack (MongoDB, Express.js, React.js, Node.js) with integrated OpenAI GPT API for conducting dynamic, context-aware interview conversations. - Implemented real-time video interview interface allowing candidates to practice with AI interviewer, simulating realistic interview scenarios for various positions and experience levels. - Built intelligent question generation system that adapts to user's experience level (beginner, intermediate, advanced) and target position (frontend developer, backend developer, full-stack, etc.) - Designed secure user authentication and profile management system to track interview history, performance metrics, and progress over time. - Created dynamic interview flow that analyzes candidate responses in real-time and generates relevant follow-up questions, mimicking natural interviewer behavior. - Integrated video recording and playback functionality enabling users to review their performance, body language, and communication skills. - Implemented anti-cheating detection system with tab-switch monitoring and alerts to maintain interview integrity during practice sessions. - Developed responsive UI with timer functionality, interview controls, and AI copilot feature for enhanced user experience. - Built performance analytics dashboard displaying interview statistics, commonly asked questions, areas for improvement, and preparation recommendations.